BI & Data Platform Lead

Description

The company is building a new BI and Data platform from the ground up and is hiring a BI & Data Platform Lead in Sofia, Bulgaria to own it technically. This is a senior, hands-on role spanning data architecture, data engineering, analytics engineering and BI — from evaluating and selecting the stack, through defining the target architecture and data models, to building the pipelines, semantic layer and initial dashboards and driving the platform into production.

The role sits inside the existing BI organisation and works directly with the Head of BI, engineering, product and business stakeholders. It is a builder role, not a reporting or dashboard-maintenance role.

Requirements

Must-Have Requirements:

• 5+ years in Data Engineering, BI Engineering, Analytics Engineering or Business Intelligence.
• Proven experience building — or significantly contributing to — a modern data/BI platform.
• Advanced SQL, with extensive hands-on work on large and complex datasets.
• Strong hands-on experience with ETL/ELT architectures, data pipelines and data transformation.
• Strong understanding of data warehouse architecture and dimensional / data modeling.
• Snowflake — hands-on within the last 3 years. This is the customer's primary requirement (Liran, Sep 2026). Experience with BigQuery, Redshift or Databricks is additive, not a substitute. Recency matters: screen the CV for Snowflake work in a 2023-or-later role, and confirm it in the interview.
• Experience with modern transformation and orchestration tooling: dbt and Airflow / Astronomer or equivalent.
• Experience with a BI platform: Looker, Power BI, Tableau or similar, including semantic-layer and standardised KPI framework design.
• Good Python skills for data processing, automation and integration.
• Experience integrating databases, APIs, event data and third-party sources.
• Strong grasp of data quality, governance, lineage, monitoring and analytical-engineering best practice.
• Understanding of batch vs. real-time / near-real-time data architectures.
• Ability to evaluate technologies and make architecture decisions on business requirements, scalability, maintainability and cost.
• Ability to independently own a project from architecture and design through implementation and production.
• Strong communication with both technical and business stakeholders; comfortable in a fast-changing environment where the platform, processes and standards are still being established.

Nice to Have:

• Gambling / iGaming industry experience (major advantage).
• Sports betting, casino, player behaviour, payments, CRM, bonuses, acquisition or risk/fraud data.
• Gaming KPIs: GGR, NGR, ARPU, LTV, retention, churn, FTD, conversion, wagering, deposits, player segmentation.
• Supporting multiple brands, countries or operations with differing data structures and business processes.
• Hands-on Looker (LookML) and GCP specifically, alongside the required Snowflake.
• Event-driven or streaming architectures.
• CI/CD and software-engineering practices for data platforms.
• Supporting machine learning, predictive analytics or AI-driven analytics use cases.
• Participation in data-platform technology evaluation or migration projects.